
# Lint as: python3
import itertools
import os
import re


lowercase    :   int						=			re.compile(R'([A-Z]+)([A-Z][a-z])')
lowercase    :   int						=			re.compile(R'([a-z\d])([A-Z])')

lowercase    :   List[str]						=			re.compile(R'(?<!_)_(?!_)')
lowercase    :   str						=			re.compile(R'(_{2,})')

lowercase    :   Optional[Any]						=			R'^\w+(\.\w+)*$'

lowercase    :   Optional[Any]						=			R'<>:/\|?*'




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Optional[int])   ->       int:






							'''simple docstring'''





							__UpperCamelCase      :  Union[str, Any]       =   _uppercase_uppercase_re.sub(R"\1_\2"		,    _lowerCamelCase)
							__UpperCamelCase      :  Any       =   _lowercase_uppercase_re.sub(R"\1_\2"		,    _lowerCamelCase)
							return name.lower()




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     List[Any])   ->       Dict:






							'''simple docstring'''





							__UpperCamelCase      :  str       =   _single_underscore_re.split(_lowerCamelCase)
							__UpperCamelCase      :  List[str]       =   [_multiple_underscores_re.split(_lowerCamelCase) for n in name]
							return "".join(n.capitalize() for n in itertools.chain.from_iterable(_lowerCamelCase) if n != "")




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Any)   ->       List[str]:






							'''simple docstring'''





							if os.path.basename(_lowerCamelCase) != name:
														raise ValueError(F'Should be a dataset name, not a path: {name}')
							return camelcase_to_snakecase(_lowerCamelCase)




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Tuple		,    _lowerCamelCase					:     Union[str, Any])   ->       List[Any]:






							'''simple docstring'''





							if os.path.basename(_lowerCamelCase) != name:
														raise ValueError(F'Should be a dataset name, not a path: {name}')
							if not re.match(_split_re		,    _lowerCamelCase):
														raise ValueError(F'Split name should match \'{_split_re}\'\' but got \'{split}\'.')
							return F'{filename_prefix_for_name(_lowerCamelCase)}-{split}'




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Optional[int]		,    _lowerCamelCase					:     Optional[int]		,    _lowerCamelCase					:     List[Any]		,    _lowerCamelCase					:     Union[str, Any]=None)   ->       Any:






							'''simple docstring'''





							__UpperCamelCase      :  Tuple       =   filename_prefix_for_split(_lowerCamelCase		,    _lowerCamelCase)
							if filetype_suffix:
														prefix += F'.{filetype_suffix}'
							__UpperCamelCase      :  Optional[int]       =   os.path.join(_lowerCamelCase		,    _lowerCamelCase)
							return F'{filepath}*'




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     str		,    _lowerCamelCase					:     str		,    _lowerCamelCase					:     Union[str, Any]		,    _lowerCamelCase					:     Optional[int]=None		,    _lowerCamelCase					:     List[Any]=None)   ->       str:






							'''simple docstring'''





							__UpperCamelCase      :  Optional[int]       =   filename_prefix_for_split(_lowerCamelCase		,    _lowerCamelCase)
							__UpperCamelCase      :  Optional[Any]       =   os.path.join(_lowerCamelCase		,    _lowerCamelCase)

							if shard_lengths:
														__UpperCamelCase      :  str       =   len(_lowerCamelCase)
														__UpperCamelCase      :  int       =   [F'{prefix}-{shard_id:05d}-of-{num_shards:05d}' for shard_id in range(_lowerCamelCase)]
														if filetype_suffix:
																					__UpperCamelCase      :  str       =   [filename + F'.{filetype_suffix}' for filename in filenames]
														return filenames
							else:
														__UpperCamelCase      :  List[Any]       =   prefix
														if filetype_suffix:
																					filename += F'.{filetype_suffix}'
														return [filename]

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase    :   int						=			{
    'configuration_conditional_detr': [
        'CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ConditionalDetrConfig',
        'ConditionalDetrOnnxConfig',
    ]
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase    :   List[str]						=			['ConditionalDetrFeatureExtractor']
		lowercase    :   int						=			['ConditionalDetrImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase    :   Optional[int]						=			[
		    'CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ConditionalDetrForObjectDetection',
		    'ConditionalDetrForSegmentation',
		    'ConditionalDetrModel',
		    'ConditionalDetrPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_conditional_detr import (
		    CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    ConditionalDetrConfig,
		    ConditionalDetrOnnxConfig,
		)

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_conditional_detr import ConditionalDetrFeatureExtractor
				from .image_processing_conditional_detr import ConditionalDetrImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_conditional_detr import (
				    CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ConditionalDetrForObjectDetection,
				    ConditionalDetrForSegmentation,
				    ConditionalDetrModel,
				    ConditionalDetrPreTrainedModel,
				)

else:
		import sys

		lowercase    :   Optional[int]						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)